Ligue 1
Retrospective analysis — the model is trained only on matches played before this one.
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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Paris FC
Nice
Expected goals, over/under and both teams to score — priced by the model before kick-off.
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The model's top final scores with the best bookmaker odds.
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Half-time score: 1–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
24 | 18 | 3 | 3 | +34 | +29.0 | 57 |
| 2 |
Lens
|
24 | 17 | 2 | 5 | +24 | +15.9 | 53 |
| 3 |
Lyon
|
23 | 14 | 3 | 6 | +14 | +8.6 | 45 |
| 4 |
Marseille
|
23 | 12 | 4 | 7 | +17 | +9.2 | 40 |
| 5 |
Rennes
|
24 | 11 | 7 | 6 | +3 | -1.2 | 40 |
| 6 |
Lille
|
23 | 11 | 4 | 8 | +5 | +9.0 | 37 |
| 7 |
Monaco
|
24 | 11 | 4 | 9 | +4 | +6.2 | 37 |
| 8 |
Strasbourg
|
24 | 10 | 5 | 9 | +9 | +8.4 | 35 |
| 9 |
Lorient
|
23 | 8 | 8 | 7 | -4 | -1.0 | 32 |
| 10 |
Toulouse
|
24 | 8 | 7 | 9 | +5 | +3.8 | 31 |
| 11 |
Brest
|
23 | 8 | 6 | 9 | -3 | +0.8 | 30 |
| 12 |
Angers
|
24 | 8 | 5 | 11 | -8 | -15.6 | 29 |
| 13 |
Le Havre
|
24 | 6 | 8 | 10 | -10 | -10.1 | 26 |
| 14 |
Nice
|
23 | 6 | 6 | 11 | -13 | -10.3 | 24 |
| 15 |
Paris FC
|
23 | 5 | 8 | 10 | -13 | -12.3 | 23 |
| 16 |
Auxerre
|
23 | 4 | 5 | 14 | -16 | -7.6 | 17 |
| 17 |
Nantes
|
23 | 4 | 5 | 14 | -18 | -12.5 | 17 |
| 18 |
Metz
|
23 | 3 | 4 | 16 | -30 | -20.1 | 13 |
Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.
K. Trapp
G
A. Camara
D
D. Coppola
D
M. Mbow
D
T. De Smet
D
P. Lees-Melou
M
M. Munetsi
M
J. Ikone
M
I. Kebbal
M
M. Simon
M
Coach: Antoine Kombouare
M. Dupe
G
J. Clauss
D
J. Bah
D
K. Peprah
D
M. Bard
D
C. Vanhoutte
M
M. Cho
M
S. Diop
M
T. Louchet
M
Kevin
F
Coach: Claude Puel
Green columns are the outcomes that came in.
Toulouse
Paris FC
Paris FC
Lens
Auxerre
Paris FC
Lorient
Paris FC
Paris FC
Marseille
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.